Replication for 'How to Stop Contagion: Applying Network Science to Evaluate the Effectiveness of Covid-19 Vaccine Distribution Plans'
Olga V. Chyzh
Feb 7, 2023

List of files:
1. Chyzh_Replication.Rmd--replicates all tables and figures in the manuscript and the online appendix.
2. Chyzh_Replication.html--output of Chyzh_Replication.Rmd
3. data--folder that contains the following files:
	3.1. CAOR_data.csv--the main dataset (see CAOR_Codebook for variable names and descriptions)
	3.2. state_data1.csv--the data for reproducing state-level analyses
	3.3. ergm1.rds--results presented in Table 1 of the appendix. Allows to quickly reproduce Table 1 of the manusript without re-estimating the model. The code to re-estimate the model is also provided as part of the replication of the Appendix.
	3.4. sim_res1.rds--data to quickly reproduce Figure 4 of the Appendix (without running the full simulation). Replication code for the full simulation is also included.
	3.5. mytable1.rds--data to quickly reproduce Table 2 (without running the full simulation). Replication for the full simulation is also included.
4. scripts--folder that contains the following files:
	4.1. plot_round2--a script to automate plotting simulation results
	4.2. run_combine_tabs--a script that helps make the table of simulation results	
	4.3. sum_net_degree--a script to automate tabulating simulation results in the main text
	4.4. sum_net--a script to automate tabulating simulation results with additional scenarios in the Appendix
5. CAOR_Codebook--codebook that describes the variables in CAOR_data.csv
6. State_data_Codebook--codebook that describes the variables in state_data1.csv


	
	
	
